The Data Quality Crisis Killing Your AI Projects

🚨 SHOCKING: 85% of AI leaders say data quality is their biggest challenge, yet most projects launch without fixing foundational data problems. In this episode, I reveal: ✅ Why AI makes data problems WORSE, not better ✅ The 3 questions your AI team is avoiding ✅ How to trace AI decisions back to source data ✅ Why 30% of Gen AI projects fail after proof of concept ✅ Actionable steps you can take THIS WEEK TIMESTAMPS: 0:00 - Introduction: The Data Quality Crisis 0:29 - Why 85% of AI Leaders Struggle 2:12 - How AI Makes Data Problems Worse 2:56 - Question 1: Single Source of Truth 3:43 - Question 2: Data Quality Ownership 4:19 - Question 3: Data Lineage & Traceability 4:45 - Real Cost of Skipping Governance 5:34 - Data Governance as Accelerant 6:16 - What Good Governance Looks Like 7:33 - Action Steps for This Week 📊 Key Statistics: • 85% cite data quality as top AI challenge (KPMG) • 30% of Gen AI projects abandoned (Gartner) • 77% lack essential AI security practices (Accenture) 🎯 Perfect for: CTOs, CDOs, AI leaders, executives planning AI investments 🔔 Subscribe for daily AI insights that cut through the noise! #AI #DataQuality #AIStrategy #DataGovernance #TechLeadership